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DBMS > EXASOL vs. FileMaker vs. Hazelcast vs. IRONdb vs. TerarkDB

System Properties Comparison EXASOL vs. FileMaker vs. Hazelcast vs. IRONdb vs. TerarkDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFileMaker  Xexclude from comparisonHazelcast  Xexclude from comparisonIRONdb  Xexclude from comparisonTerarkDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A widely adopted in-memory data gridA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.exasol.comwww.claris.com/­filemakerhazelcast.comwww.circonus.com/solutions/time-series-database/github.com/­bytedance/­terarkdb
Technical documentationwww.exasol.com/­resourceswww.claris.com/­resources/­documentationhazelcast.org/­imdg/­docsdocs.circonus.com/irondb/category/getting-startedbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperExasolClaris infoa subsidiary of AppleHazelcastCirconus LLC.ByteDance, originally Terark
Initial release20001983200820172016
Current release19.4.1, November 20215.3.6, November 2023V0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
All OS with a Java VMLinux
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histogramsno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes infoA http query request can return the data in XML formatyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyesyes infovia pluginsSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Filemaker WebDirect
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP APIC++ API
Java API
Supported programming languagesJava
Lua
Python
R
PHP.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyesyes infoEvent Listeners, Executor Servicesyes, in Luano
Triggersyesyesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yes infoReplicated Mapconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitednono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts and connection to external directory servicesRole-based access controlnono

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More resources
EXASOLFileMakerHazelcastIRONdbTerarkDB
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